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Onboarding creates several different costs: setup payments, time spent teaching, and a temporary gap between paid capacity and independent output. Combining them into one number can be useful only if the components remain visible. In particular, a new employee's salary is already in the employment budget; adding the entire salary again as onboarding cost overstates the cash requirement.
Model the ramp in productive hours
Consider an eight-week ramp with 40 scheduled hours each week. For the first four weeks, expected independent output is 50% of scheduled capacity. For the next four, it is 75%. Expected output is therefore 4 × 40 × 50% + 4 × 40 × 75% = 200 equivalent productive hours, compared with 320 hours at the chosen steady-state benchmark. The temporary gap is 120 hours.
Ramp capacity gap = benchmark productive hours − expected ramp productive hours
| Period | Benchmark hours | Assumed output factor | Expected equivalent hours |
|---|---|---|---|
| Weeks 1–4 | 160 | 50% of benchmark | 80 |
| Weeks 5–8 | 160 | 75% of benchmark | 120 |
| Total | 320 | — | 200 |
At a hypothetical internal capacity value of $45 per hour, the gap has a planning value of $5,400. That number is not automatically lost revenue or an extra payment. It represents capacity that is not available under the assumptions. If no customer work was waiting, there may be no displaced sales at all.
Separate the mentor and cash ledgers
A mentor spends 24 hours on training. At an entered internal cost rate of $55, that time is valued at $1,320. External training and equipment setup require $1,800 in actual payments. Together, the two capacity estimates plus setup give an $8,520 planning total. Label the $6,720 capacity component and $1,800 cash component separately so nobody treats the entire amount as a new bank outflow.
If the mentor's time is already included in a project estimate, remove it there before adding it to onboarding. If a temporary worker is hired to cover the gap, model the actual coverage invoice; do not also claim the same hours as lost contribution unless the remaining uncovered work truly disappears. These distinctions matter when comparing a fast, expensive training plan with a slower, cheaper one.
Review evidence at each milestone
Choose observable milestones such as independent order handling, accepted deliverables, or supported cases completed without escalation. Update the ramp factor from those outputs, rather than from attendance alone. Include quality checks: an hour that creates work needing a full redo should not be treated as fully equivalent to accepted output.
The ramp factors here are hypothetical, not typical learning curves. A 100% factor means the specific benchmark is met, not that someone can work without breaks or support. Keep the steady-state denominator realistic, retain any unfavorable variance, and show the assumptions that would change the hiring schedule or training commitment.
Method references: BLS: Employer Costs for Employee Compensation concepts. Accessed October 22, 2026. All dollar figures are hypothetical worked examples.
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